SAR data applications in earth observation: An overview
A Tsokas, M Rysz, PM Pardalos, K Dipple - Expert Systems with …, 2022 - Elsevier
In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
[HTML][HTML] Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches
Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …
A LSTM algorithm estimating pseudo measurements for aiding INS during GNSS signal outages
W Fang, J Jiang, S Lu, Y Gong, Y Tao, Y Tang, P Yan… - Remote sensing, 2020 - mdpi.com
Aiming to improve the navigation accuracy during global navigation satellite system (GNSS)
outages, an algorithm based on long short-term memory (LSTM) is proposed for aiding …
outages, an algorithm based on long short-term memory (LSTM) is proposed for aiding …
A derivative UKF for tightly coupled INS/GPS integrated navigation
G Hu, S Gao, Y Zhong - ISA transactions, 2015 - Elsevier
The tightly coupled INS/GPS integration introduces nonlinearity to the measurement
equation of the Kalman filter due to the use of raw GPS pseudorange measurements. The …
equation of the Kalman filter due to the use of raw GPS pseudorange measurements. The …
Cubature rule-based distributed optimal fusion with identification and prediction of kinematic model error for integrated UAV navigation
Abstract Integrated MIMU/GNSS/CNS (micro-electro-mechanical system-based inertial
measurement unit/global navigation satellite system/celestial navigation system) is a …
measurement unit/global navigation satellite system/celestial navigation system) is a …
Modelling and control for intelligent industrial systems
GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …
production costs, and to improve working conditions and safety in industrial environments …
Covariance matching based adaptive unscented Kalman filter for direct filtering in INS/GNSS integration
The use of the direct filtering approach for INS/GNSS integrated navigation introduces
nonlinearity into the system state equation. As the unscented Kalman filter (UKF) is a …
nonlinearity into the system state equation. As the unscented Kalman filter (UKF) is a …
Multi-sensor multi-vehicle (MSMV) localization and mobility tracking for autonomous driving
Vehicle localization and mobility tracking are important tasks in autonomous driving.
Traditional methods either have insufficient accuracy or rely on additional facilities to reach …
Traditional methods either have insufficient accuracy or rely on additional facilities to reach …
Fault-tolerant GNSS/SINS/DVL/CNS integrated navigation and positioning mechanism based on adaptive information sharing factors
Real-time positioning feature is becoming an essential part in a variety of military and
civilian applications. In particular, the cooperation of multisensors helps to improve …
civilian applications. In particular, the cooperation of multisensors helps to improve …
Multi-sensor optimal data fusion for INS/GNSS/CNS integration based on unscented Kalman filter
B Gao, G Hu, S Gao, Y Zhong, C Gu - International Journal of Control …, 2018 - Springer
This paper presents an unscented Kalman filter (UKF) based multi-sensor optimal data
fusion methodology for INS/GNSS/CNS (inertial navigation system/global navigation satellite …
fusion methodology for INS/GNSS/CNS (inertial navigation system/global navigation satellite …